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ieeexplore.ieee.org document › 9512296

A Review of Affective Computing Research Based on Function-Component-Representation Framework | IEEE Journals & Magazine | IEEE Xplore

Affective computing (AC), a field that bridges the gap between human affect and computational technology, has witnessed remarkable technical advancement. Howeve

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Silence is golden?-the effects of silence deletion on the CPU load of an audio conference | IEEE Conference Publication | IEEE Xplore

This paper seeks to identify, improvements that reduce audioconference CPU load. A major contribution is the comparison of the performance benefits of five pote

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ieeexplore.ieee.org xpls › abs_all.jsp

Implementation and testing of an automated EST processing and similarity analysis system | IEEE Conference Publication | IEEE Xplore

Expressed sequence tag (EST) sequencing projects are being undertaken in an effort to identify the function of as many genes as possible from entire genomes. Pu

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ieeexplore.ieee.org document › 9911630

High Power, Room Temperature InP-Based Quantum Cascade Laser Grown on Si | IEEE Journals & Magazine | IEEE Xplore

We report on the realization of an InP-based long wavelength quantum cascade laser grown on top of a silicon substrate. This demonstration first required the de

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ieeexplore.ieee.org abstract › document › 10049707

Inward VR: Toward a Qualitative Method for Investigating Interoceptive Awareness in VR | IEEE Journals & Magazine | IEEE Xplore

lmmersive virtual reality (VR) technologies can produce powerful illusions of being in another place or inhabiting another body, and theories of presence and em

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ieeexplore.ieee.org lpdocs › epic03 › wrapper.htm

Generalized suffix trees for biological sequence data: applications and implementation | IEEE Conference Publication | IEEE Xplore

This paper addresses applications of suffix trees and generalized suffix trees (GSTs) to biological sequence data analysis. We define a basic set of suffix tree

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ieeexplore.ieee.org abstract › document › 10750824

Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data | IEEE Journals & Magazine | IEEE Xplore

The multivariate Hawkes process (MHP) is widely used for analyzing data streams that interact with each other, where events generate new events within their own

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